Research on Artificial intelligence was initiated by computer and cognitive scientists in the 1930s. The challenge: there wasn't a full understanding about how the brain and the mind operated, and this is still the case. A common comment about Artificial intelligence has therefore been that it's in the making - needs another twenty-five years before it reaches the target. Like a moving target. Here I use two of the LLMs, Co-pilot and Claude, to mine some information about the origin of AI.
They both provide us with names of peoples who pioneered the field, all with their own approach. Conclusion. AI is still in the making, and LLMs are a big step forward. But to establish a proper understanding of what AI is, it makes sense to take the pioneers' works and frameworks into consideration. Note. These guys are not the only pioneers'. 3 pages.
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Research on Artificial intelligence (AI) was initiated by computer and cognitive scientists in the 1930s. The challenge: there wasn't a full understanding about how the brain and the mind operated, and this is still the case. A common comment about Artificial intelligence has therefore been that it's in the making - needs another twenty-five years before it reaches the target. Like a moving target.
Rather recently though, a reasonable leap was taken when companies launched AI - based applications (apps) called Language Models (LLM). These apps can index existing information from the internet and provide us with a written answer. It doesn't create new information, it summerizes the information. LLMs can do other things, but that's another story.
This is not to say that LLMs fully cover how the brain and the mind work, or provide correct answers for that matter, but it's a step forward. How big a step forward it is, is of course hard to say, but it has definitly given university professors 'en masse' headaches. That's because students can ask LLMs to write their essays.
Here I use two of the LLMs, Co-pilot and Claude, to mine some information about the origin of AI.
My first question to co-pilot: Who was the pioneers of Artificial intelligence?
Co-pilots response:
Several pioneers have made significant contributions to the field of artificial intelligence (AI). Here are a few key figures:
Alan Turing: Often considered the father of AI, Turing introduced the concept of the Turing Machine in the 1930s, which laid the groundwork for modern computing. He also proposed the famous Turing Test in 1950 to measure a machine's ability to exhibit intelligent behavior.
John McCarthy: Known as the father of AI, McCarthy coined the term "artificial intelligence" in 1956 and organized the Dartmouth Conference, which is considered the birth of AI research.
Marvin Minsky: A prominent AI researcher, Minsky co-founded the MIT AI Lab and made significant contributions to the fields of neural networks and robotics.
Claude Shannon: Known as the father of information theory, Shannon's work laid the foundation for understanding how information is processed and communicated, which is crucial for AI development.
Herbert Simon: A pioneer in computer science and AI, Simon developed the concept of "symbolic AI" and made significant contributions to the study of human cognition and decision-making.
Claude's response:
The pioneers of artificial intelligence include several key figures who laid the groundwork in the 1940s-1960s:
1. Alan Turing
- Developed the Turing Test (1950)
- Wrote seminal paper "Computing Machinery and Intelligence"
- Created the concept of machine learning
- Established foundational computer science principles
2. John McCarthy
- Coined the term "artificial intelligence" (1956)
- Organized the Dartmouth Conference which launched the field
- Created the LISP programming language
- Founded AI labs at MIT and Stanford
3. Marvin Minsky
- Co-founded MIT's AI laboratory
- Wrote "Steps Toward Artificial Intelligence" (1961)
- Made major contributions to neural networks
- Developed theories of intelligence and knowledge representation
4. Herbert Simon and Allen Newell
- Created the first AI program "Logic Theorist" (1956)
- Developed "General Problem Solver"
- Advanced information processing theories
- Simon won Nobel Prize in Economics
5. Claude Shannon
- Developed information theory
- Pioneered work on chess-playing computers
- Advanced boolean logic applications
- Contributed to early machine learning concepts
6. Arthur Samuel
- Pioneered machine learning (coined the term)
- Created early self-learning programs
- Developed computer checkers program
- Advanced adaptive algorithms
7. Frank Rosenblatt
- Invented the perceptron (1957)
- Created early neural network designs
- Advanced pattern recognition theory
- Developed principles still used in deep learning
Conclusion. AI is still in the making, and LLMs are a big step forward. But to establish a proper understanding of what AI is, it makes sense to take the pioneers' works and frameworks into consideration. Note. These guys are not the only pioneers'.
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